PlanTL-GOB-ES/es_pharmaconer_ner_trf

Basic Spacy BioNER pipeline, with a RoBERTa-based model [bsc-bio-ehr-es] (https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) and a dataset, Pharmaconer, a NER dataset annotated with substances, compounds and proteins entities. For further information, check the official website. Visit our GitHub repository. This work was funded by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) within the framework of the Plan-TL

Feature	Description
Name	es_pharmaconer_ner_trf
Version	3.4.1
spaCy	>=3.4.1,<3.5.0
Default Pipeline	transformer, ner
Components	transformer, ner
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	n/a
License	mit
Author	The Text Mining Unit from Barcelona Supercomputing Center.
Copyright	Copyright by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) (2022)
Funding	This work was funded by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) within the framework of the Plan-TL

Label Scheme

View label scheme (4 labels for 1 components)

Component	Labels
ner	NORMALIZABLES, NO_NORMALIZABLES, PROTEINAS, UNCLEAR

Accuracy

Type	Score
ENTS_F	91.09
ENTS_P	90.67
ENTS_R	91.53
TRANSFORMER_LOSS	15719.51
NER_LOSS	22469.88